The prediction of the hot strength in steels with an integrated phenomenological and artificial neural network model-Reference-Cited by-同舟云学术

The prediction of the hot strength in steels with an integrated phenomenological and artificial neural network model

Published:1999-03 Issue:1-3 Volume:87 Page:131-138
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Hodgson P.D.,Kong L.X.,Davies C.H.J.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference11 articles.

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2. A unified phenomenological description of work-hardening and creep based on one-parameter models;Estrin;Acta Metall.,1984

3. P.D. Hodgson, D.C. Collinson, C.H.J. Davies, L.X. Kong, The application of phenomenological, empirical and ANN models to the predication of hot strength in steels, IPMM’97, Australasia-Pacific Forum on Intelligent Processing and Manufacturing of Materials, Brisbane, July 1997 (in press).

4. Prediction of flow stresses at high temperatures and strain rates;Laasraoui;Metall. Trans. A.,1991

5. Dynamic recovery and strain hardening in the hot deformation of type 317 stainless steel;Ryan;Mater. Sci. Technol.,1986

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